general user analysis assistant_example risk: low
Image Visual Style JSON Descriptor
Specifies dominant color palette, flat color application, absent typography, three horizontal band composition with flattened perspective, and impasto texture effects with stylized…
PROMPT
{
"colors": {
"dominant_palette": [
"coral_pink",
"cerulean_blue",
"olive_green",
"forest_green",
"cream_white"
],
"application": "Flat, blocks of color with minimal gradients, defined contours."
},
"typography": {
"style": "None present in the image."
},
"composition": {
"structure": "Three horizontal bands: sky/mountain, figures/orange trees, large fruit/table.",
"perspective": "Flattened, layered planes with stylized depth.",
"elements": "Simplified forms of people, trees, fruit, and landscape."
},
"effects": {
"texture": "Impasto oil painting texture, visible brushstrokes.",
"lighting": "Stylized, strong shadows and highlights, non-realistic."
}
} REQUIRED CONTEXT
- image
EXPECTED OUTPUT
- Format
- json
CAVEATS
- Missing context
-
- Intended task or action (e.g., generate image, create prompt from this analysis, match this style)
QUALITY
- OVERALL
- 0.60
- CLARITY
- 0.95
- SPECIFICITY
- 0.90
- REUSABILITY
- 0.15
- COMPLETENESS
- 0.50
IMPROVEMENT SUGGESTIONS
- Add explicit instructions at the top, e.g., 'Use this style analysis JSON to generate a matching image description or artwork.'
- Introduce placeholders for colors, elements, etc., to make it template-like, e.g., '{{dominant_palette}}'.
- Specify desired output format and constraints, e.g., 'Output a Stable Diffusion prompt no longer than 100 words.'
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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